جست‌وجوی استاد و پژوهشگر

• Signal Processing
• Telecommunications
• Wireless Communication Systems
• +۷ مورد دیگر

Kimmo Juhani Kansanen is a Professor at the Department of Electronic Systems at NTNU, leading the Signal Processing Group. He holds an MSc and PhD in Electrical Engineering from the University of Oulu, Finland. Since 2006, he has been affiliated with NTNU, advancing to his current role in 2016. His research focuses on wireless communication systems, satellite technologies, and machine learning applications in positioning and communication. **Education**: MSc in Electrical Engineering, University of Oulu PhD in Electrical Engineering, University of Oulu **Research Interests**: Kansanen specializes in error-correcting coding for satellites, localization and communication systems, MIMO spread spectrum techniques, and 5G infrastructure. He also explores medical sensing and wireless communication using ultra-wideband technology. **Grants & Projects**: He has led multiple EU and ESA-funded projects, including: "Air interface development for ultra-low powered IoT satellite applications" (ESA ARTES, 2020–2022) "User Terminal Wideband Modem for VHTS" (ESA, 2018–2020) "Massive Simple IoT" (RCN IKTPLUSS) **Patents**: Holder of US patents 7447285, 7492844, and 7466779 related to data processing and transmission methods.

• Analog Circuit Design
• MMIC Design
• Microwave Engineering
• +۴ مورد دیگر

Morten Olavsbråten is an Associate Professor in the Department of Electronic Systems at NTNU. His research focuses on analog circuit design, microwave engineering, and power amplifier optimization. He holds a PhD from NTNU (2003) and has extensive experience in RF systems, MMIC design, and radiowave propagation. Key research interests include efficiency enhancement in GaN power amplifiers, envelope tracking techniques, and nonlinear circuit analysis. His work spans academic articles in IEEE journals and international conferences, addressing topics like bandwidth reduction for supply-modulated PAs and dynamic biasing methods. He teaches courses such as FE8122 (Doctoral Seminar in Circuit and Radio System Design) and TTT4201 (Radio System Design and RF Microwave Measurement Techniques). His outreach includes collaborations with industry partners like Qualcomm and Keysight Technologies, focusing on practical applications of PA design and linearization.

• Photonics
• Optical Sensors
• Biosensors
• +۳ مورد دیگر

Mukesh Yadav is a Postdoctoral Fellow in the Department of Electronic Systems at the Norwegian University of Science and Technology (NTNU), Trondheim, specializing in photonic biosensor development for biomedical applications. His research focuses on creating highly sensitive on-chip detection systems using integrated optical structures. His core research interests include Photonics, Optical Sensors, Biosensors, Integrated Optics, Microfluidics, and Biophotonics. He designs innovative sensor architectures such as ring resonators and Mach-Zehnder interferometers with sub-wavelength gratings, emphasizing multiplexing capabilities and biocompatible interfaces for biomarker detection. His work bridges optical engineering and medical diagnostics through microfluidic integration. Analysis of his 2018-2025 publications reveals consistent advancement in photonic sensor sensitivity and functionality, with recent work (2020-2025) emphasizing spectral shaping techniques, biocompatible polymer bonding, and multiplexed on-chip platforms. These contributions demonstrate evolving sophistication in translating lab prototypes toward practical diagnostic tools. Yadav actively contributes to NTNU's LOC biosensor project and Artificial intraperitoneal pancreas initiative, developing lab-on-a-chip platforms for early disease detection. His conference presentations at SPIE, OSA, and Norwegian symposia highlight real-world applicability of his sensor technologies in medical and environmental monitoring contexts.

• Bio-Inspired Artificial Intelligence
• Evolutionary Algorithms
• Artificial Neural Networks
• +۵ مورد دیگر

Keith L. Downing is a Professor in the Department of Computer Science at NTNU, affiliated with the Faculty of Information Technology and Electrical Engineering. His research focuses on bio-inspired artificial intelligence, including evolutionary algorithms, artificial neural networks, and computational neuroscience. He has authored two MIT Press books: *Intelligence Emerging* (2015) and *Gradient Expectations* (2023). His work bridges AI, artificial life, and cognitive science, emphasizing the emergence of intelligence in both natural and artificial systems. Teaching responsibilities include Introductory AI, AI Programming, Cognitive Architectures, and Deep Learning courses at NTNU. He also engages in public outreach, such as a 2015 TV appearance on *Schrødingers katt: Kunstig Intelligens*. His research spans predictive neural mechanisms, evolutionary computation, and the societal implications of AI, as seen in his 2014 feature article in *Aftenposten*. Key publications include foundational work on the Baldwin Effect (2004), neural predictive models (2013), and computational neuroscience (2009). He actively promotes interdisciplinary approaches to AI, blending technical innovation with biological plausibility.

• Medical Image Processing
• Volumetric Visualization
• Image Registration
• +۲ مورد دیگر

Gabriel Hanssen Kiss is an Associate Professor at NTNU's Department of Computer Science and a senior engineer at St Olavs Hospital's Operating Room of the Future. His expertise spans medical image processing, visualization, extended reality, and ultrasound technology. His research focuses on volumetric data visualization, image registration/fusion, and XR applications for medical contexts. With a PhD in Engineering from KU Leuven focused on visualization and automated polyp detection in virtual colonoscopy, Kiss bridges computer science with clinical applications to advance medical technology.

Zhirong Yangمشاهده پروفایل

استاد

• Machine Learning
• Information Visualization
• Data Representation Learning
• +۶ مورد دیگر

Zhirong Yang is a Professor at the Department of Computer Science at the Norwegian University of Science and Technology (NTNU). He is affiliated with the Norwegian Open AI Lab and focuses on machine learning, information visualization, and data representation learning. His work integrates techniques like neural attention models, nonnegative matrix factorization, and dimensionality reduction algorithms such as Neighbor Embedding (NE) for visualization. Yang's research has applications in bioinformatics, medical imaging, and engineering systems. His educational background includes advanced studies in pattern recognition and computational methods, though specific details are not provided. Research collaborations span institutions globally, including work on bacterial population genomics and chromosome classification. Key contributions include scalable optimization frameworks for visualization (NE) and novel clustering algorithms using graph random walks and low-rank matrix decompositions. Yang has developed software tools like ChordMixer for sequence processing and HSSNE for robust data visualization. His recent publications emphasize advancements in attention mechanisms, sparse factorization, and medical diagnostics. He actively contributes to open-source projects and collaborates with industry on applications like subsea pipeline inspection and energy scheduling systems.

• Machine Learning
• 3D Imaging
• Image and Video Processing
• +۷ مورد دیگر

Faouzi Alaya Cheikh is a Professor of Computer Science at NTNU, affiliated with the Faculty of Information Technology and Electrical Engineering. He holds a BSc in Electronics (ENIT, Tunisia, 1992), MSc in Signal Processing (TUT, 1997), and a Dr. Tech. in Signal Processing (TUT, 2004). His career includes roles as an Associate Professor at Gjøvik University College (2006–2015), researcher at TUT (1994–2006), and Electronics Engineer at Société Tunisienne de l'Éléctricité et du Gaz (1992–1993). He leads the Intelligent Systems and Analytics (ISA) research group at NTNU. His research focuses on machine learning, 3D imaging, video surveillance, biometrics, and healthcare applications. Notable projects include Alameda , HiPerNav , and INID . Key areas of innovation include liver surgery visualization, polyp segmentation, facial expression recognition, and IoT-driven healthcare solutions. His work bridges computer vision, medical imaging, and biomedical signal processing. Publications span 2018–2025, emphasizing biomedical applications, autonomous systems, and deep learning frameworks. Recent contributions include real-time liver resection planning, polyp segmentation networks, and emotion recognition for neurological care. Collaborations span industries and institutions globally, addressing challenges in healthcare technology, surgical navigation, and smart cities.

• Granular Materials
• Fluid Dynamics
• Energy Systems
• +۲ مورد دیگر

Etien Martinez Roman is a Researcher at the Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU). His work focuses on granular materials and fluid dynamics, with recent contributions analyzing flow transitions in granular heaps. He holds a postdoctoral position and has published in journals like Physical Review E . Research Interests: Granular flow dynamics Material science applications Energy systems engineering Publications highlight interdisciplinary approaches to understanding granular matter behavior under varying conditions. No awards or grants explicitly mentioned in available text.

• Child Welfare Services
• Child Participation in Decision-Making
• Child Communication
• +۳ مورد دیگر

Inger Sofie Dahlø Husby is an Associate Professor at the Department of Social Work, Norwegian University of Science and Technology (NTNU), and Deputy Head of Education within the Faculty of Social Sciences and Education. With over 25 years in academia, she specializes in child welfare, focusing on child participation, communication, and inclusion in welfare services. Her research explores methodologies to enhance collaboration with vulnerable children, emphasizing trust-building and pedagogical support. She holds a Ph.D. in Social Sciences (2019) and has led projects like Children as Partners in Child Welfare Work (2020–2024). Currently, she leads an NTNU-funded grant (2025–2026) on conversations with newly employed staff in child welfare. Education : Ph.D. in Social Sciences (Social Work), NTNU (2019) M.Sc. in Social Work, NTNU (2000) Bachelor’s in Child Welfare, Stavanger University College (1985) Research Interests : Child participation in decision-making Communication strategies with vulnerable children Inclusion frameworks in child welfare Professional development in social work Her work bridges theory and practice, with publications in journals like Child & Family Social Work and European Journal of Social Work . She actively contributes to EU initiatives, such as the REACCH project, and chairs the Children’s Rights in Practice Special Interest Group at ESWRA. Grants & Leadership : PI of the 2025–2026 NTNU grant on child welfare communication Leadership roles: Program Coordinator, Deputy Head of Education Labs/Teams : Children’s Rights in Practice SIG (ESWRA) EU Erasmus+ Panda project

• Control Engineering
• Hydrodynamics
• Marine Control Systems
• +۳ مورد دیگر

Asgeir Johan Sørensen is a Professor at the Department of Marine Engineering, Faculty of Engineering at NTNU. He holds a Dr. Eng. in Technical Cybernetics (1993) and an M.Sc. in Marine Engineering (1988), both from NTH (now NTNU). His research focuses on control engineering, hydrodynamics, autonomous systems, and marine robotics. He leads projects like Oppdrag Mjøsa , advancing autonomous marine operations and environmental monitoring. Key contributions include risk-based path planning, hydrogen fuel cell systems for marine propulsion, and hyperspectral imaging for underwater mapping. Research interests emphasize autonomous systems integration, underwater vehicle control, and sustainable marine technologies. He co-founded the Marine Cybernetics Laboratory (MC-lab) and Applied Underwater Laboratory (AUR-Lab) . His work bridges academia and industry, addressing challenges in marine robotics, energy systems, and satellite-based Earth observation. Recent publications highlight advancements in marine autonomy, including collision avoidance algorithms, hybrid power systems, and Arctic satellite missions. He collaborates widely, contributing to national and international initiatives in marine technology and environmental data governance.

• Sociology of Family
• Work-Life Balance
• Parental Leave Policies
• +۴ مورد دیگر

Brita Bungum is a Professor at the Department of Sociology and Political Science, Norwegian University of Science and Technology (NTNU). Her research focuses on family sociology, work-life balance, and welfare state policies with particular emphasis on parental leave systems, gender equity in care work, and immigrant integration. She has authored/co-authored over 30 peer-reviewed publications and policy reports since 2003, including influential works on Norwegian childcare policies, transnational fatherhood, and school democracy. Key research interests include: 1) Parental leave utilization patterns among immigrant families in Norway, 2) Cross-national comparisons of work-family policies, 3) Gender dynamics in parenting roles, and 4) Policy impacts on family life. Her recent projects examine how Nordic welfare models adapt to globalization and demographic changes. Notable contributions include the 2024 report on post-LK20 educational democracy reforms and annual contributions to the International Review of Leave Policies. Bungum has presented at major conferences including the Nordic Sociology Association meetings and the European Sociological Association congress. Her work bridges academic research and policy practice through collaborations with SINTEF, Statistics Norway, and educational institutions. Current projects focus on father involvement in childcare and welfare state modernization strategies.

• Control Systems
• Mechanical Engineering
• Offshore Engineering
• +۵ مورد دیگر

Christian Holden is an Associate Professor at the Department of Mechanical Engineering and Manufacturing, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on control systems, mechanical engineering, and offshore engineering with applications in robotics, fluid dynamics, and marine systems. He holds a PhD in Modeling and Control of Parametric Roll Resonance (2011). Key research areas include adaptive control systems, drill-string dynamics, riser-tensioner systems, and hydrocyclone optimization. His work combines theoretical modeling with practical applications in offshore operations, robotics, and energy systems. Collaborations with industry and academia have yielded solutions for challenges in subsea engineering, drilling dynamics, and automation. Publications emphasize advanced control methodologies, simulation frameworks, and experimental validation. His recent work explores AI-driven trajectory planning for robotics and control-oriented models for industrial separation processes. Holden's contributions bridge mechanical engineering principles with cutting-edge control theory for real-world engineering systems.

• Hydrodynamics
• Sediment Transport
• Hydraulic Structures
• +۷ مورد دیگر

Elena Marianne Pummer is a Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Civil and Environmental Engineering and the Faculty of Engineering. She holds a Dr.-Ing. from RWTH Aachen University (2016) and a Dipl.-Wirtsch.-Ing. from TU Darmstadt (2011). Her research focuses on hydrodynamics, sediment transport, hydraulic structures, and geomorphological processes. She leads projects like RenewHydro (sediment handling), HydroCen (hydropower innovation), and InSpillyFish (spillway improvements with fish passage). Notably, she investigates GLOF hydraulics, underground pumped storage plants, and culvert blockage dynamics. Pummer has supervised PhD students including Jan Hrebrina and Nils Solheim, and previously advised Subhojit Kadia and Joakim Sellevold. Her awards include the Friedrich-Wilhelm Award (2017), ICOLD Young Engineers Award (2017), and the DTK & WasserWirtschaft Prize (2019). She contributes to committees like IAHR’s Hydraulic Structures and EERA Hydropower initiatives. Her work spans experimental modeling, CFD simulations, and policy-driven hydropower modernization.

• Computer Supported Cooperative Work (CSCW)
• Digital Collaboration
• Sustainable Digital Platforms
• +۵ مورد دیگر

Elena Parmiggiani is an Associate Professor in Computer-Supported Cooperative Work (CSCW) and Digital Collaboration at NTNU's Department of Computer Science, where she also serves as Deputy Head of Department for Sustainability. She holds a part-time Senior Researcher position (20%) at Sintef Nord in Tromsø. Her research focuses on sustainable digital platforms, responsible AI, data curation, and digital transformation in public sectors. She leads the AI4Users project (2020-2025) and previously managed the AlgoCult research network. She earned her PhD in Computer Science from NTNU (2015), with a thesis on environmental monitoring infrastructures in offshore oil operations. Education: PhD in Computer Science, NTNU (2015) MSc in Computer Engineering, University of Modena and Reggio Emilia (2010) BSc in Computer Engineering, University of Modena and Reggio Emilia (2008) Research Interests: Her work examines sociotechnical challenges in digital platform implementation, data governance, and AI ethics. Methodologically, she employs ethnographically inspired interpretive approaches. Key themes include: Responsible AI (RAI) and its societal implications Data curation practices in data science and infrastructures Knowledge work transformation through digitalization Algorithmic governance in public services Publications: Her recent work analyzes citizen attitudes toward AI in welfare services, labor displacement in AI-driven sectors, and data governance in food supply chains. She co-edits the CSCW Journal and serves on editorial boards for the European Journal of Information Systems and Scandinavian Journal of Information Systems . Awards & Grants: Funded projects include Norwegian Research Council grants for AI4Users (IKTPLUSS) and AlgoCult (SAMKUL). She coordinates NTNU's Digital Enterprise Research Priority Area (2019-2022). Labs/Teams: Active in the Applied Information Technologies (AIT) group at NTNU, collaborating with industry partners like Sintef Nord. Her work bridges academic research with practical digital transformation initiatives in public and private sectors.

• Eco-visualization
• Co-design methodologies
• Sustainable Futures
• +۷ مورد دیگر

Erica Margareta C E Löfström is a Researcher at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Psychology and Department of Design. Her work focuses on Radical Innovation for Sustainable Futures, emphasizing eco-visualization, provotyping, and co-design methodologies to drive systemic changes toward a low-carbon society. She has extensive experience in participatory processes involving stakeholders to co-create sustainable solutions. Her research projects include Nature In Your Face (NIYF) , which develops transformative societal change methodologies, INCITE-DEM (enhancing democratic innovation and civic engagement), and CLEANcultures (exploring local climate solutions via learning processes). She has authored/co-authored numerous publications on topics like smart cities, energy efficiency, and sustainable urban planning. Löfström teaches courses in product design, interaction design, environmental communication, and eco-visualization methods. She holds a PhD in Technology and Social Change and has supervised multiple Master’s and PhD students focusing on narratives of sustainability, visualization tools in city planning, and collective climate action. Her expertise spans interdisciplinary fields including environmental psychology, Science-Technology Studies (STS), and digital engagement strategies. She actively participates in international conferences and has contributed to reports on sustainable building practices and user participation in energy systems.